<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Digital-Forensics on CuraSec</title><link>https://curasec.metacog.co.kr/tags/digital-forensics/</link><description>Recent content in Digital-Forensics on CuraSec</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 15 Oct 2026 15:35:13 +0000</lastBuildDate><atom:link href="https://curasec.metacog.co.kr/tags/digital-forensics/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Confidence Outpaces Validation in Forensics and IR</title><link>https://curasec.metacog.co.kr/insights/2026-10-15-why-ai-confidence-is-not-validation/</link><pubDate>Thu, 15 Oct 2026 15:35:13 +0000</pubDate><guid>https://curasec.metacog.co.kr/insights/2026-10-15-why-ai-confidence-is-not-validation/</guid><description>&lt;ul>
&lt;li>&lt;strong>Engineer — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>SOC/IR — Learn:&lt;/strong> Relevant warning for analysts using AI-assisted triage or forensics tooling: the gap between AI output confidence and verifiable accuracy can corrupt IR conclusions. No immediate detection action, but worth factoring into how AI tool outputs are treated in investigations.&lt;/li>
&lt;li>&lt;strong>Leader — Plan:&lt;/strong> If AI tools are being used in forensics or IR workflows without a governance framework, develop a validation policy this quarter that defines how AI outputs are reviewed before they inform incident conclusions or regulatory disclosures.&lt;/li>
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